Objective
The notion of big data and its application in driving organizational decision making has attracted enormous attention over the past couple of years. Prominent examples of companies engaging in the big data paradigm have illustrated the potential in generating substantial business impacts and fundamentally changing the way organizational-level decisions are made. The need to harness the potential of rapidly expanding data volume, velocity, and variety, has seen a significant evolution of techniques and technologies for data storage, management, analysis, and visualization. Yet, there is limited understanding of how organizations need to change to embrace these technological innovations and the business shifts they entail. The purpose of CADENT is to examine how big data is successfully exploited and by which means it improves competitive performance. The aim is to identify the critical success factors in a range of contexts, and use these findings to promote research and practice. More specifically, the proposed research project is targeted in identifying and categorizing the primary decisions needs from big data intelligence and analytics in varying industries and for different strategic orientations. The goal is to develop a clear understanding of how strategy and context shape data-driven information requirements, and explore through a holistic approach the human, technological, managerial, and relational aspects that contribute to successful data-driven decisions. In effect, the CADENT project seeks to explore through case studies, action research, as well as qualitative and quantitative methods how big data is optimally exploited and the organizational changes it creates. Implications stemming from the CADENT project will serve industry by providing a set of guidelines for companies adopting big data strategies to optimally exploit their investments and gain a competitive edge.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences sociology governance
- social sciences political sciences political policies civil society civil society organisations nongovernmental organizations
- natural sciences computer and information sciences data science big data
- social sciences economics and business business and management
- engineering and technology electrical engineering, electronic engineering, information engineering information engineering telecommunications
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF-EF-ST - Standard EF
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2015
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
7491 TRONDHEIM
Norway
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.